Universal three-dimensional simulation system for hydropower station

Abstract

The invention discloses a universal three-dimensional simulation system for a hydropower station, which comprises a hardware system and a software system. The hardware system comprises a main server, a remote server, a teacher station, an engineer station, a printer, a switch and a number of student stations connected by a local area network; the switch is connected to remote student stations via LAN connection; the software system includes a simulation mathematical modeling system, a simulation monitoring system modeling system, a three-dimensional virtual reality modeling system and an assessment evaluation management system. The universal three-dimensional simulation system is reasonable in design, not only can carry out skill training, identification and competition of staff skills scientifically, efficiently, fairly and justly, but also can meet the needs of long-distance on-site training of operators of hydropower station production sites.

Description

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AI Technical Summary

Benefits of technology

This technology allows companies that use multiple types of hydroelectric power plant (HPE) facilities without having their own simulations installed at all times during construction phase. By selecting appropriate models from available options based upon specific requirements such as performance targets, environmental factors like water quality levels, operating conditions, safety regulations, and cost savings associated therewith, this method helps organizations improve efficiency while reducing costs by providing them more accurate data about how well they are doing work over time.

Problems solved by technology

The problem addressed by this patented solution relates to improving the quality and efficiency of hydroelectric power plant operations through advanced simulators trained on realistic simulations or data collected during operational hours. Current models lack sufficient detail about how these machines operate together without causing issues like interference caused by differences in their hardware configurations or software settings. This results in less effective training experiences due to insufficient skill levels required at each stage. Therefore, an objective approach called science standardsization (SE) was proposed which proposes developing a more comprehensive machine learning program aimed towards achieving better performance across multiple types of hydrapower plants operating alongside one another.

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